Applied Nonlinear Regression
Credit Hours:
3 hours
Statistical modeling using nonlinear regression is considered. Topics include fixed-effects nonlinear regression models, nonlinear least squares, computational methods and practical matters, growth models, and compartmental models. Nonlinear mixed-effects models are discussed, including model interpretation, estimation and inference. Examples will be drawn from forestry, pharmaceutical sciences, and other fields.
Offered fall semester every odd-numbered year.
Prerequisites:
STAT 4230/6230 or STAT 6320 or STAT 6420 or permission of department
Level: